1 citations · 1 across the 3 of their papers we have counts for
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Decision-Based vs. Distribution-Driven Clustering for Stochastic Energy System Design Optimization
Boyung Jürgens, Hagen Seele, Hendrik Schricker +2
Stochastic programming is widely used for energy system design optimization under uncertainty but can exponentially increase the computational complexity with the number of scenari…
Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response
Sonja H. M. Germscheid, Benedikt Nilges, Niklas von der Assen +2
This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity gen…
Gotta catch 'em all: Modeling All Discrete Alternatives for Industrial Energy System Transitions
Hendrik Schricker, Benedikt Schuler, Christiane Reinert +1
Industrial decision-makers often base decisions on mathematical optimization models to achieve cost-efficient design solutions in energy transitions. However, since a model can onl…